## # A tibble: 142 × 8
## continent country data model
## <fctr> <fctr> <list> <list>
## 1 Americas Brazil <tibble [12 × 5]> <S3: lm>
## 2 Africa Mauritania <tibble [12 × 5]> <S3: lm>
## 3 Europe France <tibble [12 × 5]> <S3: lm>
## 4 Europe Switzerland <tibble [12 × 5]> <S3: lm>
## 5 Asia Pakistan <tibble [12 × 5]> <S3: lm>
## 6 Asia Indonesia <tibble [12 × 5]> <S3: lm>
## 7 Africa Equatorial Guinea <tibble [12 × 5]> <S3: lm>
## 8 Africa Comoros <tibble [12 × 5]> <S3: lm>
## 9 Americas Nicaragua <tibble [12 × 5]> <S3: lm>
## 10 Americas Guatemala <tibble [12 × 5]> <S3: lm>
## # ... with 132 more rows, and 4 more variables: glance <list>, rsq <dbl>,
## # tidy <list>, augment <list>
## # A tibble: 52 × 8
## continent country data model
## <fctr> <fctr> <list> <list>
## 1 Africa Algeria <tibble [12 × 5]> <S3: lm>
## 2 Africa Angola <tibble [12 × 5]> <S3: lm>
## 3 Africa Benin <tibble [12 × 5]> <S3: lm>
## 4 Africa Botswana <tibble [12 × 5]> <S3: lm>
## 5 Africa Burkina Faso <tibble [12 × 5]> <S3: lm>
## 6 Africa Burundi <tibble [12 × 5]> <S3: lm>
## 7 Africa Cameroon <tibble [12 × 5]> <S3: lm>
## 8 Africa Central African Republic <tibble [12 × 5]> <S3: lm>
## 9 Africa Chad <tibble [12 × 5]> <S3: lm>
## 10 Africa Comoros <tibble [12 × 5]> <S3: lm>
## # ... with 42 more rows, and 4 more variables: glance <list>, rsq <dbl>,
## # tidy <list>, augment <list>
